Robust Image Encryption Based on Balanced Cellular Automaton and Pixel Separation

Tralic, Dijana; Grgić, Sonja

doi:10.13164/re.2016.0548

Cited by 7 publications

(2 citation statements)

References 22 publications

(39 reference statements)

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“…Souyah and Faraoun [61] evaluated the symmetric approach for enciphering digital images by combining chaos and cellular automata (CA) under the situation of one round encryption or decryption. Tralic and Grgic [62] presented an approach for image encryption based on a 2D cellular automaton and pixel division. Application of the balanced 2D cellular automata with amplified Moore neighborhood for each degree of pseudorandom key-image makes it different from existing approaches.…”

Section: Cellular Automata-based Image Encryptionmentioning

confidence: 99%

Computational Image Encryption Techniques: A Comprehensive Review

Kaur

Singh

Kaur

2021

Mathematical Problems in Engineering

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Images contain very sensitive and confidential information. Because images play a significant role in many applications such as military communication, remote-sensing, and medical-imaging, therefore, it is necessary to protect sensitive and confidential information from unauthorized use and modification. To achieve this objective, encryption is one of the best methods among the information hiding methods. In recent years, many image encryption approaches are designed by the researchers. They use different concepts for image encryption to increase security. The main aim of this paper is to present a comprehensive review of the existing image encryption approaches. These approaches are categorized based on different concepts such as chaotic maps, DNA, compressive sensing, and optical image encryption. Comparisons are made among the existing approaches to access the various security parameters. Key performance metrics are also presented. The future scope of image encryption is also presented to encourage the research community.

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Section: Cellular Automata-based Image Encryptionmentioning

confidence: 99%

Computational Image Encryption Techniques: A Comprehensive Review

Kaur

Singh

Kaur

2021

Mathematical Problems in Engineering

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“…On the other hand, cellular automata CA demonstrate excellent means of simulating the complicated and pseudo-random behaviours that are essential for efficient ciphers. A number of research work on image ciphering based on cellular automata has been performed [18,19,20]. A model based on DCT (Discrete Cosine Transform) and one dimensional cellular automata was described in [18].…”

Section: Introductionmentioning

confidence: 99%

A Mixed Chaotic-cellular Automata Based Encryption Scheme for Compressed Jpeg Images

Beniani¹,

Faraoun²

2018

Journal of Multimedia Processing and Technologies

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In this paper, we propose a new scheme for joint compression and encryption of digital images, based on cellular automata and selective encryption of quantized DCT coefficient. Using a key stream by a cellular automata mechanism, a subset of quantized coefficients is selected and then ciphered with the produced pseudorandom key-stream. Thus, we achieve a sufficiently robust security level, mostly against known plaintext attacks while preserving a high compression ratio. Several performance analysis including security analysis, speed performances and compression ratio are performed, and demonstrate the efficacy of the proposed approach with respect to existing ones.

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An Effective Encryption Scheme Based on Chaotic Maps Applied to Digital Image

Lamiche

2020

Multimedia Security Using Chaotic Maps: Principles and Methodologies

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Robust Image Encryption Based on Balanced Cellular Automaton and Pixel Separation

Abstract: Abstract. The purpose of image encryption is to protect

Cited by 7 publications

References 22 publications

Computational Image Encryption Techniques: A Comprehensive Review

Computational Image Encryption Techniques: A Comprehensive Review

A Mixed Chaotic-cellular Automata Based Encryption Scheme for Compressed Jpeg Images

An Effective Encryption Scheme Based on Chaotic Maps Applied to Digital Image

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